Chai Dapeng
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Ma Mingjuan
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Xue Song
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Shi Hui
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
Zeng Ming
School of Economics and Management, North China Electric Power University, Beijing, 102206, China
ABSTRACT
Under the condition of large-scale renewable energy integrated into grid, optimizing generation capacity investment needs to achieve large-scale renewable energy integrated into grid and to take into account the economic and environmental benefits. In view of the long-standing problem of uncoordinated power generation capacity investment, firstly, this study built a planning model of long-term investment in generation capacity based on minimized investment costs and minimized CO2 emissions. Secondly, the mechanism and procedure of harmony search algorithm with particle swarm optimization was introduced. Finally, the impact of different hydropower capacity and wind power capacity on portfolio investment cost of generation capacity and CO2 emissions were analyzed combined with scenario simulations. In addition, long-term investment planning program of generation capacity was optimized in both economic and environmental benefits aspects. From the study results, it can be seen that the total cost is 2027421.34 and 158141.04 Yuan in R0 and R9 of the wet season scenario and the total CO2 emissions is 208.43 and 70.62 in R0 and R9 of the wet season scenario; the total cost is 158723.56 and 206782.12 Yuan in S0 and S9 of the dry season scenario and the total CO2 emissions is 218.91 and 74.74 in S0 and S9 of the dry season scenario. Based on this, complementary operation and optimization investment of hydro-thermal power-wind power was achieved. This study will provide a theoretical reference for policy makers.
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How to cite this article
Chai Dapeng, Ma Mingjuan, Xue Song, Shi Hui and Zeng Ming, 2013. Long-term Investment Planning Model for Power Generation Capacity Based
on Harmony Search Algorithm with Particle Swarm Optimization. Journal of Applied Sciences, 13: 3584-3588.
DOI: 10.3923/jas.2013.3584.3588
URL: https://scialert.net/abstract/?doi=jas.2013.3584.3588
DOI: 10.3923/jas.2013.3584.3588
URL: https://scialert.net/abstract/?doi=jas.2013.3584.3588
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